Land Use Land Cover (LULC) Change Detection Analysis between 2013 and 2023 in Karbi Anglong District, Assam, using Geo-Informatics

Background/Objectives: Land Use Land Cover (LULC) is an important factor in monitoring the land use area of a region. This study aims to examine LULC change in Karbi Anglong District of Assam. Method: The study is conducted using data from remote sensing, geographic context, and field research findings. The study used Google Earth Pro Satellite Images using Arc GIS 10.5 software to map the LULC change detection for the years 2013–2023. Six primary categories of land use and land cover classification are used to categorize the research area: built-up areas, agricultural land, ginger cultivated area, and forest, wasteland, and water bodies. Findings: The results reveal a 30.31 sq. km increase in built-up areas, a 26.69 sq. km increase in agricultural land, and a significant 51.69 sq. km rise in ginger-cultivated area. Conversely, forest cover declined by 108.56 sq. km and water bodies by 4.03 sq. km. The increase in the wasteland, agricultural, ginger-cultivated land and built-up areas are evident in the outcome. Conversely, there is a decline in water and forest areas. Novelty: This study offers a detailed micro-level temporal analysis of LULC using field-verified remote sensing data and provides a baseline for future environmental planning in Karbi Anglong District of Assam. LULC is crucial because inappropriate land use can have negative impact on the environment as well as in the society and economy. Keywords: Remote sensing, GIS, LULC, Google Earth, Ginger Cultivation

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Publication Details

Journal
Indian Journal of Science and Technology
Published
2025-07-24
DOI
https://doi.org/10.17485/ijst/v18i27.772
Primary Topic
Soil and Land Suitability Analysis
Type
article
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article

Land Use Land Cover (LULC) Change Detection Analysis between 2013 and 2023 in Karbi Anglong District, Assam, using Geo-Informatics

Alajangi Simhachalam, Lwithwma Basumatary, Palme Borthakur
Indian Journal of Science and Technology
Soil and Land Suitability Analysis
article

Land Use Land Cover (LULC) Change Detection Analysis between 2013 and 2023 in Karbi Anglong District, Assam, using Geo-Informatics

Alajangi Simhachalam, Lwithwma Basumatary, Palme Borthakur
article en

Abstract

Background/Objectives: Land Use Land Cover (LULC) is an important factor in monitoring the land use area of a region. This study aims to examine LULC change in Karbi Anglong District of Assam. Method: The study is conducted using data from remote sensing, geographic context, and field research findings. The study used Google Earth Pro Satellite Images using Arc GIS 10.5 software to map the LULC change detection for the years 2013–2023. Six primary categories of land use and land cover classification are used to categorize the research area: built-up areas, agricultural land, ginger cultivated area, and forest, wasteland, and water bodies. Findings: The results reveal a 30.31 sq. km increase in built-up areas, a 26.69 sq. km increase in agricultural land, and a significant 51.69 sq. km rise in ginger-cultivated area. Conversely, forest cover declined by 108.56 sq. km and water bodies by 4.03 sq. km. The increase in the wasteland, agricultural, ginger-cultivated land and built-up areas are evident in the outcome. Conversely, there is a decline in water and forest areas. Novelty: This study offers a detailed micro-level temporal analysis of LULC using field-verified remote sensing data and provides a baseline for future environmental planning in Karbi Anglong District of Assam. LULC is crucial because inappropriate land use can have negative impact on the environment as well as in the society and economy. Keywords: Remote sensing, GIS, LULC, Google Earth, Ginger Cultivation

Indian Journal of Science and TechnologyVol. 18(27)
Openalex Percentile: Top 74%
Soil and Land Suitability Analysis
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Land Use Land Cover (LULC) Change Detection Analysis between 2013 and 2023 in Karbi Anglong District, Assam, using Geo-Informatics — Alajangi Simhachalam, Lwithwma Basumatary, et al. · Indian Journal of Science and Technology (2025) | TGRS Research Map | TGRS